Principal Data Analyst

🕒 August 21

🇨🇦 Canada – Remote

💵 $99k - $145.2k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• Collaborate with product managers and cross-functional teams to identify, define, and address business problems and opportunities through data analysis • Derive actionable insights from large and complex datasets and communicate findings clearly to technical and non-technical audiences • Define product measurement through north-star metrics, KPI/OKR frameworks, metric trees, instrumentation, guardrails, and launch measurement • Use AI coding and analysis tools to accelerate SQL/Python development, automate repeatable analytical work, and prototype lightweight data applications or assistants • Create data visualizations using Power BI, Looker, or similar tools • Build and evolve canonical datasets, semantic models, metric definitions, dashboards, and self-service experiences • Mine data-driven insights supporting PSET platform outcomes, performance, user engagement, and business impact • Partner with Data Engineering on data quality, lineage, observability, and scalable pipelines • Apply version control, testing, code review, and reproducible development practices • Communicate complex findings as concise decisions and trade-offs for technical and executive audiences • Mentor analysts and cross-functional partners on problem framing, experimentation, AI-assisted analytics, and data storytelling

🎯 Requirements

• 8+ years of experience in large data analysis, business intelligence, or a related field • Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline • Demonstrated principal/staff level scope • Hands-on experience using AI-assisted development and analysis tools such as Claude Code and Cursor • Strong SQL skills • Proficiency in Python or R for data analysis and modeling • Experience with data warehouse ELT tools such as Airflow, dbt, and Snowflake • Experience with semantic layers, governed metric definitions, and BI/visualization tools such as Looker or Power BI • Knowledge of statistical techniques and modeling methodologies • Strong ability to communicate complex data insights to technical and non-technical stakeholders • Ability to work across functions and support strategic initiatives • Prior SaaS or platform engineering experience preferred • Experience analyzing AI/ML or agentic products preferred • Experience building internal data products, analytical applications, or LLM-enabled tools preferred • Master’s degree in a quantitative field preferred

🏖️ Benefits

• Annual cash bonuses may be included • Stock grants may be included • Comprehensive benefits package • In-person onboarding and/or in-person ID verification may be required